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Shazad Q. Ashraf

Government of the United Kingdom - Queen Elizabeth Hospital Birmingham

Mindelsohn Way

Birmingham , B15 2TH

United Kingdom

  • Government of the United Kingdom - Queen Elizabeth Hospital Birmingham

SCHOLARLY PAPERS

2

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148

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Scholarly Papers (2)

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1.

Muba: Understanding Mix-Up Boundary Analysis for Assuring Medical Image Classifiers

Number of pages: 11 Posted: 04 Feb 2025
William Poulett, Adam Byfield, Ben Wallace, Anusha Jose, Adnan Qayyum, Emil Cohen, Shazad Q. Ashraf, Junaid Qadir and Muhammad Bilal
NHS England, affiliation not provided to SSRN, NHS England, affiliation not provided to SSRN, affiliation not provided to SSRN, MedStar Georgetown University Hospital, Government of the United Kingdom - Queen Elizabeth Hospital Birmingham, Qatar University and Birmingham City University
Downloads 109 (645,052)

Abstract:

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AI Assurance, Boundary Testing, synthetic data generation, Mixup Augmentation, Medical Image Classification

2.

Medbin: A Lightweight End-to-End Model-Based Method for Medical Waste Management

Number of pages: 29 Posted: 12 Nov 2024
Xiazhen Xu, Chenyang Wang, Qiufeng Yi, Jiaqi Ye, Xiangfei Kong, Shazad Q. Ashraf, Karl D. Dearn and Amir M. Hajiyavand
University of Birmingham, University of Birmingham, University of Birmingham, University of Birmingham, University of Birmingham, Government of the United Kingdom - Queen Elizabeth Hospital Birmingham, University of Birmingham and University of Birmingham
Downloads 39 (1,236,159)

Abstract:

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Medical waste management, Lightweight neural network, deep learning, Object detection, Instance segmentation